Hybrid Routing and Efficient Mobility Model with Ant Optimization in Mobile Ad-Hoc Networks

 

 

 

Mohammed Ahmed Jubair1, Marwan Harb Alqaryouti2, Mohammed Ihsan Hashim3, Ala Eddin Sadeq4, Rabei Raad Ali5,*, Mohamed Doheir6

 

1Department of Medical Instruments Engineering Techniques, University of Al Maarif, Al Anbar, 31001, Iraq

 

2Department of English Language-Literature and Translation, Zarqa University, Zarqa, Jordan

 

3Department of Computer Technical Engineering, The Islamic University, Najaf, Iraq

 

4Department of English Language-Literature and Translation, Zarqa University, Zarqa, Jordan

 

5Technical Engineering College for Computer and AI, Northern Technical University, Mosul, Iraq

 

6Faculty of Technology Management & Technopreneurship, Universiti Teknikal Malaysia, Melaka, Malaysia

 

Emails:mohameda.jubair@gmail.com; mqaryouti@zu.edu.jo; moh.almateen@gmail.com; ,moh.almateen@gmail.com; alaeddin71@yahoo.com; rabei@ntu.edu.iq; doheir@utem.edu.my

 

 

 

Text Box: Abstract Mobile Ad hoc Networks (MANETs) are emerging technologies used to transfer data across locations within both infrastructure-less and infrastructure-based network models. To ensure quality communication among mobile devices in various applications, an efficient routing model and an optimal data transfer path are essential, helping to reduce delay and power consumption during transmission. This article focuses on 'A hybrid routing and efficient mobility model with ant optimization' (HEMAOM). HEMAOM introduces a novel hybrid routing approach combined with an energy-efficient optimization model to lower power consumption and improve data transmission. Using an energy model, power usage during data transfer is minimized, boosting overall efficiency. Additionally, an optimization model is developed to identify the best path for data transfer between areas. These processes collectively decrease delay and power consumption, enhancing the communication performance of mobile devices. Compared to state-of-the-art methods like EOMFM, OLSRM, and MPOUA, HEMAOM shows superior performance in energy efficiency and data delivery. The model is implemented using NS3 software, considering parameters such as packet delivery ratio, network throughput, average delay, energy efficiency, and routing overhead. Received: January 16, 2025 Revised: March 13, 2025 Accepted: May 30, 2025

 

Keywords: Mobile Ad hoc Networks; Efficient Mobility Model; Hybrid Routing Protocol; Ant Optimization Algorithm